Machine learning(ML)domain specific architectures(DSA)and chips have been prevailed in the past few years.These custom DSA designs outperform conventional general purposed architectures in terms of energy efficiency,p...Machine learning(ML)domain specific architectures(DSA)and chips have been prevailed in the past few years.These custom DSA designs outperform conventional general purposed architectures in terms of energy efficiency,processing latency and performance scalability.The data intensive nature of ML requires large amounts of processing power and memory access.Data flow architectures.展开更多
基金supported by the National Key Research and Development Program of China(No.2022YFB4500100)。
文摘Machine learning(ML)domain specific architectures(DSA)and chips have been prevailed in the past few years.These custom DSA designs outperform conventional general purposed architectures in terms of energy efficiency,processing latency and performance scalability.The data intensive nature of ML requires large amounts of processing power and memory access.Data flow architectures.
